Visualization of COVID19 Data in Bicol

Visualization of COVID19-related Data from Bicol Region and Naga City, Camarines Sur, Philippines

Data sources used to make the plots are official press releases of DOH CHD - Bicol and official releases from the COVID Tracker of the Local Government of Naga,and official statements of the Office of the Mayor of the concerned LGUs.

The following interactive plot shows the Covid19-positive individuals and their contacts in Bicol Region as of September 01, 2020.

Use your mouse to zoom in to particular cases, see details, and look into connections.

Time Varying R in Bicol Region as of September 01, 2020

The following figure shows the output plots: Epidemic Curve, Estimated R, and Explored Serial Interval Distribution

Computed R (Mean R) Value for the Province of Bicol for September 01 or Day 159

(Please ignore the warning message)

FALSE     Mean(R)     Std(R)
FALSE 1: 1.177962 0.07052272

FALSE    Quantile.0.025(R) Quantile.0.05(R) Quantile.0.25(R) Median(R)
FALSE 1:          1.043781         1.064412         1.129659  1.176555
FALSE    Quantile.0.75(R) Quantile.0.95(R)
FALSE 1:         1.224731         1.296312

References:

R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URLhttps://www.R-project.org/

packages used: dplyr, data.table, lubridate, reshape2, ggplot2, EpiEstim, epicontacts, googlesheets4, readxl

Help us improve our viz. Send a pull request at link

H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016

Matt Dowle and Arun Srinivasan (2019). data.table: Extension of data.frame. R package version 1.12.8. https://CRAN.R-project.org/package=data.table

Hadley Wickham, Romain Fran